Overview

Dataset statistics

Number of variables21
Number of observations8680
Missing cells13543
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory206.4 B

Variable types

Numeric11
Categorical10

Alerts

customer_questions_and_answers has a high cardinality: 815 distinct valuesHigh cardinality
customer_reviews has a high cardinality: 5560 distinct valuesHigh cardinality
date_reviews has a high cardinality: 2060 distinct valuesHigh cardinality
manufacturer has a high cardinality: 2272 distinct valuesHigh cardinality
product_description has a high cardinality: 7863 distinct valuesHigh cardinality
product_name has a high cardinality: 8650 distinct valuesHigh cardinality
sub_category has a high cardinality: 231 distinct valuesHigh cardinality
Item_Weight is highly overall correlated with Product_Dimensions_XHigh correlation
Product_Dimensions_X is highly overall correlated with Product_Dimensions_ZHigh correlation
Product_Dimensions_Y is highly overall correlated with Product_Dimensions_XHigh correlation
average_review_rating is highly overall correlated with customer_reviewHigh correlation
customer_review is highly overall correlated with average_review_ratingHigh correlation
df_index is highly overall correlated with categoryHigh correlation
number_of_reviews is highly overall correlated with categoryHigh correlation
category is highly overall correlated with df_index and 2 other fieldsHigh correlation
Product_Dimensions_Z is highly overall correlated with Product_Dimensions_XHigh correlation
MAX_Manufacturer_recommended_age is highly overall correlated with categoryHigh correlation
Item_Weight has 1826 (21.0%) missing valuesMissing
MAX_Manufacturer_recommended_age has 815 (9.4%) missing valuesMissing
number_in_stock has 2087 (24.0%) missing valuesMissing
number_of_answered_questions has 646 (7.4%) missing valuesMissing
Product_Dimensions_X has 2015 (23.2%) missing valuesMissing
Product_Dimensions_Y has 2015 (23.2%) missing valuesMissing
Product_Dimensions_Z has 2051 (23.6%) missing valuesMissing
type_product has 2087 (24.0%) missing valuesMissing
Item_Weight is highly skewed (γ1 = 70.28420882)Skewed
price is highly skewed (γ1 = 22.25958774)Skewed
Product_Dimensions_Y is highly skewed (γ1 = 75.05608385)Skewed
product_name is uniformly distributedUniform
df_index has unique valuesUnique
price has 1205 (13.9%) zerosZeros

Reproduction

Analysis started2022-12-12 11:31:38.943934
Analysis finished2022-12-12 11:32:01.872850
Duration22.93 seconds
Software versionpandas-profiling vdev
Download configurationconfig.json

Variables

average_review_rating
Real number (ℝ)

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7045161
Minimum2.3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:01.962771image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile4
Q14.5
median5
Q35
95-th percentile5
Maximum5
Range2.7
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.37334309
Coefficient of variation (CV)0.079358446
Kurtosis-0.39660473
Mean4.7045161
Median Absolute Deviation (MAD)0
Skewness-0.93320368
Sum40835.2
Variance0.13938506
MonotonicityNot monotonic
2022-12-12T21:32:02.061965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
5 4441
51.2%
4 1138
 
13.1%
4.5 625
 
7.2%
4.8 483
 
5.6%
4.7 464
 
5.3%
4.3 362
 
4.2%
4.6 344
 
4.0%
4.4 262
 
3.0%
4.9 208
 
2.4%
4.2 199
 
2.3%
Other values (9) 154
 
1.8%
ValueCountFrequency (%)
2.3 1
 
< 0.1%
3 3
 
< 0.1%
3.3 2
 
< 0.1%
3.5 2
 
< 0.1%
3.6 3
 
< 0.1%
3.7 2
 
< 0.1%
3.8 1
 
< 0.1%
3.9 6
 
0.1%
4 1138
13.1%
4.1 134
 
1.5%
ValueCountFrequency (%)
5 4441
51.2%
4.9 208
 
2.4%
4.8 483
 
5.6%
4.7 464
 
5.3%
4.6 344
 
4.0%
4.5 625
 
7.2%
4.4 262
 
3.0%
4.3 362
 
4.2%
4.2 199
 
2.3%
4.1 134
 
1.5%

category
Categorical

Distinct42
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size393.7 KiB
Hobbies
1340 
Die-Cast & Toy Vehicles
1183 
Figures & Playsets
1067 
Characters & Brands
907 
Games
891 
Other values (37)
3292 

Length

Max length32
Median length25
Mean length14.932143
Min length3

Characters and Unicode

Total characters129611
Distinct characters51
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.1%

Sample

1st rowHobbies
2nd rowHobbies
3rd rowHobbies
4th rowHobbies
5th rowHobbies

Common Values

ValueCountFrequency (%)
Hobbies 1340
15.4%
Die-Cast & Toy Vehicles 1183
13.6%
Figures & Playsets 1067
12.3%
Characters & Brands 907
10.4%
Games 891
10.3%
Arts & Crafts 736
8.5%
Party Supplies 582
6.7%
Fancy Dress 558
6.4%
Sports Toys & Outdoor 344
 
4.0%
Dolls & Accessories 315
 
3.6%
Other values (32) 757
8.7%

Length

2022-12-12T21:32:02.193940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5209
23.4%
hobbies 1340
 
6.0%
toy 1201
 
5.4%
die-cast 1183
 
5.3%
vehicles 1183
 
5.3%
figures 1067
 
4.8%
playsets 1067
 
4.8%
characters 907
 
4.1%
brands 907
 
4.1%
games 891
 
4.0%
Other values (73) 7313
32.8%

Most occurring characters

ValueCountFrequency (%)
s 16265
 
12.5%
13588
 
10.5%
e 12229
 
9.4%
a 8469
 
6.5%
r 7869
 
6.1%
t 6811
 
5.3%
i 6050
 
4.7%
& 5209
 
4.0%
o 4819
 
3.7%
y 4025
 
3.1%
Other values (41) 44277
34.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 91376
70.5%
Uppercase Letter 18242
 
14.1%
Space Separator 13588
 
10.5%
Other Punctuation 5222
 
4.0%
Dash Punctuation 1183
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 16265
17.8%
e 12229
13.4%
a 8469
9.3%
r 7869
8.6%
t 6811
 
7.5%
i 6050
 
6.6%
o 4819
 
5.3%
y 4025
 
4.4%
l 3946
 
4.3%
c 3347
 
3.7%
Other values (15) 17546
19.2%
Uppercase Letter
ValueCountFrequency (%)
C 2835
15.5%
P 2535
13.9%
D 2062
11.3%
T 2020
11.1%
F 1625
8.9%
H 1346
7.4%
V 1183
6.5%
A 1058
 
5.8%
B 1015
 
5.6%
S 961
 
5.3%
Other values (11) 1602
8.8%
Other Punctuation
ValueCountFrequency (%)
& 5209
99.8%
, 12
 
0.2%
' 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13588
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 109618
84.6%
Common 19993
 
15.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 16265
14.8%
e 12229
 
11.2%
a 8469
 
7.7%
r 7869
 
7.2%
t 6811
 
6.2%
i 6050
 
5.5%
o 4819
 
4.4%
y 4025
 
3.7%
l 3946
 
3.6%
c 3347
 
3.1%
Other values (36) 35788
32.6%
Common
ValueCountFrequency (%)
13588
68.0%
& 5209
 
26.1%
- 1183
 
5.9%
, 12
 
0.1%
' 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129611
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 16265
 
12.5%
13588
 
10.5%
e 12229
 
9.4%
a 8469
 
6.5%
r 7869
 
6.1%
t 6811
 
5.3%
i 6050
 
4.7%
& 5209
 
4.0%
o 4819
 
3.7%
y 4025
 
3.1%
Other values (41) 44277
34.2%
Distinct815
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size393.7 KiB
nan
7864 
does it have an inflated bottom No
 
2
Are these the newest cards out HelloYes they are Thanks Does this include the binder Yes it has the folder to put the cards in Does this include the Binder It comes with a folder containing a4 sheets of card sleeves
 
2
Does this catalogue detail all the previous Hornby products please HiThe 2014 catalogue does indeed detail previous models but also includes new releases for 2014You would be advised to purchase models as you need them to avoid them being discontinued in subsequent years see more HiThe 2014 catalogue does indeed detail previous models but also includes new releases for 2014You would be advised to purchase models as you need them to avoid them being discontinued in subsequent yearsHope this helps see less
 
1
Does anyone know if this pen will be able to both write on glass and be wiped off Thanks Yes you can write on glass with it And it does wipe off easily but leaves a little residue on the glass so you would need to wipe over with something like a microfibre cloth to get it properly clean
 
1
Other values (810)
810 

Length

Max length7121
Median length3
Mean length35.383295
Min length3

Characters and Unicode

Total characters307127
Distinct characters69
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique812 ?
Unique (%)9.4%

Sample

1st rowDoes this catalogue detail all the previous Hornby products please HiThe 2014 catalogue does indeed detail previous models but also includes new releases for 2014You would be advised to purchase models as you need them to avoid them being discontinued in subsequent years see more HiThe 2014 catalogue does indeed detail previous models but also includes new releases for 2014You would be advised to purchase models as you need them to avoid them being discontinued in subsequent yearsHope this helps see less
2nd rowcan you turn off sounds hi no you cant turn sound off
3rd rowWhat is the gauge of the track Hi PaulTruthfully Im not sure But its very much alike to a 00 gauge But this train set isnt an addon for an electric train set nor has nothing to do with oneI bought this for my 4 year old nephew as he adores trains but is far too young for an electric set He was VERY happy with this though what is the layout of the tracks Its an oval shape layout
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan 7864
90.6%
does it have an inflated bottom No 2
 
< 0.1%
Are these the newest cards out HelloYes they are Thanks Does this include the binder Yes it has the folder to put the cards in Does this include the Binder It comes with a folder containing a4 sheets of card sleeves 2
 
< 0.1%
Does this catalogue detail all the previous Hornby products please HiThe 2014 catalogue does indeed detail previous models but also includes new releases for 2014You would be advised to purchase models as you need them to avoid them being discontinued in subsequent years see more HiThe 2014 catalogue does indeed detail previous models but also includes new releases for 2014You would be advised to purchase models as you need them to avoid them being discontinued in subsequent yearsHope this helps see less 1
 
< 0.1%
Does anyone know if this pen will be able to both write on glass and be wiped off Thanks Yes you can write on glass with it And it does wipe off easily but leaves a little residue on the glass so you would need to wipe over with something like a microfibre cloth to get it properly clean 1
 
< 0.1%
Hi Im doing some stenciling on my kitchen wall and I would like to know if they are waterproof and ideal for this kind of work Cheers Graham Hi I have never used them for kitchen walls I only use them for crafts ie cards and scrapbooking I think you would be better using acrylic paint It might fade if using the promakers and it would be a shame after all your hard work stencilling 1
 
< 0.1%
Does only 1 come A pack of 8 Can you confirm this is a pack of 8 please Yes its a pack of 8 is there any way of washing these off They are water soluble so they will wash off hands and clothing 1
 
< 0.1%
What colors and Ink types are included Are they set or do they differ fror every order Is there a chence to get more than one pen in the same colour Hi Inta The packs contains 30 different colour gel pens as in the picture 10 x fluorescent gel pens 10 x glitter gel pens and 10 x metallic gel pens Kind Regards Peter These pens work well on the paper in the stained glass windows which is like parchment paper I havent used them in that boom butvyes I think it would be fine Can you use them on parchment craft sheets Hello I am sorry but i dont know whether they are suitable for parchment craft sheets as i have never used them on parchment sheetskind regardsjodey are these suitable for adult colouring books I love them they are great for really fine designs the only thing to be wary of is that they will smudge if you are not careful They dry really quick though and the glitter ones are really fun to use 1
 
< 0.1%
At what temperature should you set the oven for heatfixing and for how longv Place in pre heated oven At 160 degrees for half an hour Do these pens dry opaque or transparent They dry opaque and hold the colour well Are these good for painting wine glasses with Will the paint set after oven drying and not wash off I put a thin layer on first then repeated until desired effect They look great now Once air dried washed them and theyre fab Hope that helps x could you use these to draw on Cellophane Do they need to be heated to dry no they did not needed to be heated to dry u can just leave it to dry it needs to be heated to dry on cups plates ect to make it permanent I did try drawing on a bit of clingfilm and found it to be like normal felt pens very easy to smudge but on glass and porcelain once dried it doesnt smudge but can wash off in hot see more no they did not needed to be heated to dry u can just leave it to dry it needs to be heated to dry on cups plates ect to make it permanent I did try drawing on a bit of clingfilm and found it to be like normal felt pens very easy to smudge but on glass and porcelain once dried it doesnt smudge but can wash off in hot water if not heat treated hope that helps see less 1
 
< 0.1%
What are the dimensions of this set Approx 30cm by 45cm I think Can you refill with normal felt tips after existing ones run out Hi Claire not really The plastic inset is sized for the Ryman Pencils for that set We had a set of Hb pencils and they did not fit That aside I would not recommend this product as the case just fell apart in her hands when my 11 year old unwrapped it Christmas morning The hinges came of and 2 of the panels th see more Hi Claire not really The plastic inset is sized for the Ryman Pencils for that set We had a set of Hb pencils and they did not fit That aside I would not recommend this product as the case just fell apart in her hands when my 11 year old unwrapped it Christmas morning The hinges came of and 2 of the panels that made up the bottom tray It looks solid but feels flimsy Rymans refunded but it was disappointing see less 1
 
< 0.1%
Other values (805) 805
 
9.3%

Length

2022-12-12T21:32:02.345228image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan 7864
 
12.5%
the 2829
 
4.5%
it 1416
 
2.3%
is 1302
 
2.1%
a 1216
 
1.9%
to 1131
 
1.8%
and 1089
 
1.7%
i 1046
 
1.7%
this 904
 
1.4%
you 837
 
1.3%
Other values (5489) 43128
68.7%

Most occurring characters

ValueCountFrequency (%)
60398
19.7%
n 28163
 
9.2%
e 26047
 
8.5%
a 24411
 
7.9%
t 20255
 
6.6%
o 17350
 
5.6%
s 15261
 
5.0%
i 14483
 
4.7%
r 11888
 
3.9%
h 11577
 
3.8%
Other values (59) 77294
25.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 235681
76.7%
Space Separator 60400
 
19.7%
Uppercase Letter 7435
 
2.4%
Decimal Number 2712
 
0.9%
Control 862
 
0.3%
Connector Punctuation 37
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 28163
11.9%
e 26047
11.1%
a 24411
10.4%
t 20255
 
8.6%
o 17350
 
7.4%
s 15261
 
6.5%
i 14483
 
6.1%
r 11888
 
5.0%
h 11577
 
4.9%
l 9603
 
4.1%
Other values (17) 56643
24.0%
Uppercase Letter
ValueCountFrequency (%)
I 1686
22.7%
T 794
10.7%
H 725
9.8%
A 404
 
5.4%
D 390
 
5.2%
W 380
 
5.1%
Y 354
 
4.8%
C 323
 
4.3%
S 319
 
4.3%
M 262
 
3.5%
Other values (17) 1798
24.2%
Decimal Number
ValueCountFrequency (%)
1 508
18.7%
2 410
15.1%
0 391
14.4%
3 280
10.3%
5 267
9.8%
4 265
9.8%
6 212
7.8%
8 160
 
5.9%
7 121
 
4.5%
9 98
 
3.6%
Space Separator
ValueCountFrequency (%)
60398
> 99.9%
  2
 
< 0.1%
Control
ValueCountFrequency (%)
860
99.8%
2
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 243116
79.2%
Common 64011
 
20.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 28163
11.6%
e 26047
10.7%
a 24411
 
10.0%
t 20255
 
8.3%
o 17350
 
7.1%
s 15261
 
6.3%
i 14483
 
6.0%
r 11888
 
4.9%
h 11577
 
4.8%
l 9603
 
3.9%
Other values (44) 64078
26.4%
Common
ValueCountFrequency (%)
60398
94.4%
860
 
1.3%
1 508
 
0.8%
2 410
 
0.6%
0 391
 
0.6%
3 280
 
0.4%
5 267
 
0.4%
4 265
 
0.4%
6 212
 
0.3%
8 160
 
0.2%
Other values (5) 260
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 307119
> 99.9%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60398
19.7%
n 28163
 
9.2%
e 26047
 
8.5%
a 24411
 
7.9%
t 20255
 
6.6%
o 17350
 
5.6%
s 15261
 
5.0%
i 14483
 
4.7%
r 11888
 
3.9%
h 11577
 
3.8%
Other values (56) 77286
25.2%
None
ValueCountFrequency (%)
 5
62.5%
  2
 
25.0%
è 1
 
12.5%

customer_review
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size393.7 KiB
5.0
6499 
4.0
1640 
3.0
 
339
2.0
 
101
1.0
 
101

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters26040
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 6499
74.9%
4.0 1640
 
18.9%
3.0 339
 
3.9%
2.0 101
 
1.2%
1.0 101
 
1.2%

Length

2022-12-12T21:32:02.487292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2022-12-12T21:32:02.599082image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 6499
74.9%
4.0 1640
 
18.9%
3.0 339
 
3.9%
2.0 101
 
1.2%
1.0 101
 
1.2%

Most occurring characters

ValueCountFrequency (%)
. 8680
33.3%
0 8680
33.3%
5 6499
25.0%
4 1640
 
6.3%
3 339
 
1.3%
2 101
 
0.4%
1 101
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17360
66.7%
Other Punctuation 8680
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8680
50.0%
5 6499
37.4%
4 1640
 
9.4%
3 339
 
2.0%
2 101
 
0.6%
1 101
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 8680
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26040
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 8680
33.3%
0 8680
33.3%
5 6499
25.0%
4 1640
 
6.3%
3 339
 
1.3%
2 101
 
0.4%
1 101
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 8680
33.3%
0 8680
33.3%
5 6499
25.0%
4 1640
 
6.3%
3 339
 
1.3%
2 101
 
0.4%
1 101
 
0.4%

customer_reviews
Categorical

Distinct5560
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size393.7 KiB
Five Stars
1719 
Four Stars
 
286
Great
 
83
Excellent
 
59
Perfect
 
36
Other values (5555)
6497 

Length

Max length128
Median length119
Mean length21.190438
Min length0

Characters and Unicode

Total characters183933
Distinct characters65
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5234 ?
Unique (%)60.3%

Sample

1st rowWorth Buying For The Pictures Alone As Ever
2nd rowFour Stars
3rd rowHighly Recommended
4th rowI love it
5th rowBirthday present

Common Values

ValueCountFrequency (%)
Five Stars 1719
 
19.8%
Four Stars 286
 
3.3%
Great 83
 
1.0%
Excellent 59
 
0.7%
Perfect 36
 
0.4%
Brilliant 35
 
0.4%
great 27
 
0.3%
Good 27
 
0.3%
Three Stars 26
 
0.3%
good 22
 
0.3%
Other values (5550) 6360
73.3%

Length

2022-12-12T21:32:02.739706image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
stars 2042
 
6.0%
five 1726
 
5.1%
great 959
 
2.8%
the 846
 
2.5%
a 755
 
2.2%
good 715
 
2.1%
for 693
 
2.0%
and 591
 
1.7%
it 443
 
1.3%
to 410
 
1.2%
Other values (4646) 24693
72.9%

Most occurring characters

ValueCountFrequency (%)
25988
14.1%
e 17072
 
9.3%
t 13773
 
7.5%
a 12651
 
6.9%
r 10893
 
5.9%
o 10670
 
5.8%
i 10271
 
5.6%
s 9045
 
4.9%
l 7444
 
4.0%
n 7282
 
4.0%
Other values (55) 58844
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 142295
77.4%
Space Separator 25988
 
14.1%
Uppercase Letter 14791
 
8.0%
Decimal Number 855
 
0.5%
Connector Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 17072
12.0%
t 13773
 
9.7%
a 12651
 
8.9%
r 10893
 
7.7%
o 10670
 
7.5%
i 10271
 
7.2%
s 9045
 
6.4%
l 7444
 
5.2%
n 7282
 
5.1%
d 5351
 
3.8%
Other values (17) 37843
26.6%
Uppercase Letter
ValueCountFrequency (%)
S 2662
18.0%
F 2510
17.0%
G 1227
 
8.3%
A 795
 
5.4%
T 759
 
5.1%
B 650
 
4.4%
E 603
 
4.1%
I 602
 
4.1%
P 545
 
3.7%
L 486
 
3.3%
Other values (16) 3952
26.7%
Decimal Number
ValueCountFrequency (%)
1 189
22.1%
0 161
18.8%
2 110
12.9%
3 89
10.4%
4 66
 
7.7%
5 57
 
6.7%
6 49
 
5.7%
9 47
 
5.5%
7 44
 
5.1%
8 43
 
5.0%
Space Separator
ValueCountFrequency (%)
25988
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 157086
85.4%
Common 26847
 
14.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 17072
 
10.9%
t 13773
 
8.8%
a 12651
 
8.1%
r 10893
 
6.9%
o 10670
 
6.8%
i 10271
 
6.5%
s 9045
 
5.8%
l 7444
 
4.7%
n 7282
 
4.6%
d 5351
 
3.4%
Other values (43) 52634
33.5%
Common
ValueCountFrequency (%)
25988
96.8%
1 189
 
0.7%
0 161
 
0.6%
2 110
 
0.4%
3 89
 
0.3%
4 66
 
0.2%
5 57
 
0.2%
6 49
 
0.2%
9 47
 
0.2%
7 44
 
0.2%
Other values (2) 47
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183932
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25988
14.1%
e 17072
 
9.3%
t 13773
 
7.5%
a 12651
 
6.9%
r 10893
 
5.9%
o 10670
 
5.8%
i 10271
 
5.6%
s 9045
 
4.9%
l 7444
 
4.0%
n 7282
 
4.0%
Other values (54) 58843
32.0%
None
ValueCountFrequency (%)
î 1
100.0%

date_reviews
Categorical

Distinct2060
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size393.7 KiB
07/01/2016
 
29
27/12/2015
 
26
03/12/2015
 
26
02/01/2016
 
24
17/12/2015
 
22
Other values (2055)
8553 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters86800
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique621 ?
Unique (%)7.2%

Sample

1st row06/04/2014
2nd row18/12/2015
3rd row26/05/2015
4th row22/07/2013
5th row14/04/2014

Common Values

ValueCountFrequency (%)
07/01/2016 29
 
0.3%
27/12/2015 26
 
0.3%
03/12/2015 26
 
0.3%
02/01/2016 24
 
0.3%
17/12/2015 22
 
0.3%
04/01/2016 22
 
0.3%
05/01/2016 22
 
0.3%
02/12/2015 21
 
0.2%
29/12/2014 21
 
0.2%
10/01/2016 21
 
0.2%
Other values (2050) 8446
97.3%

Length

2022-12-12T21:32:03.190578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07/01/2016 29
 
0.3%
03/12/2015 26
 
0.3%
27/12/2015 26
 
0.3%
02/01/2016 24
 
0.3%
17/12/2015 22
 
0.3%
04/01/2016 22
 
0.3%
05/01/2016 22
 
0.3%
28/12/2015 21
 
0.2%
06/01/2016 21
 
0.2%
31/12/2015 21
 
0.2%
Other values (2050) 8446
97.3%

Most occurring characters

ValueCountFrequency (%)
0 19455
22.4%
1 17375
20.0%
/ 17360
20.0%
2 14607
16.8%
5 4553
 
5.2%
4 3359
 
3.9%
3 3341
 
3.8%
6 2171
 
2.5%
9 1620
 
1.9%
8 1503
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69440
80.0%
Other Punctuation 17360
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19455
28.0%
1 17375
25.0%
2 14607
21.0%
5 4553
 
6.6%
4 3359
 
4.8%
3 3341
 
4.8%
6 2171
 
3.1%
9 1620
 
2.3%
8 1503
 
2.2%
7 1456
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 17360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 86800
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19455
22.4%
1 17375
20.0%
/ 17360
20.0%
2 14607
16.8%
5 4553
 
5.2%
4 3359
 
3.9%
3 3341
 
3.8%
6 2171
 
2.5%
9 1620
 
1.9%
8 1503
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 86800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19455
22.4%
1 17375
20.0%
/ 17360
20.0%
2 14607
16.8%
5 4553
 
5.2%
4 3359
 
3.9%
3 3341
 
3.8%
6 2171
 
2.5%
9 1620
 
1.9%
8 1503
 
1.7%

df_index
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct8680
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5179.6442
Minimum0
Maximum9998
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:03.317006image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile700.85
Q12744.5
median5299.5
Q37668.25
95-th percentile9520.05
Maximum9998
Range9998
Interquartile range (IQR)4923.75

Descriptive statistics

Standard deviation2854.7383
Coefficient of variation (CV)0.55114562
Kurtosis-1.1973443
Mean5179.6442
Median Absolute Deviation (MAD)2452
Skewness-0.066466685
Sum44959312
Variance8149530.5
MonotonicityStrictly increasing
2022-12-12T21:32:03.459354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
6846 1
 
< 0.1%
6860 1
 
< 0.1%
6859 1
 
< 0.1%
6858 1
 
< 0.1%
6857 1
 
< 0.1%
6856 1
 
< 0.1%
6855 1
 
< 0.1%
6854 1
 
< 0.1%
6853 1
 
< 0.1%
Other values (8670) 8670
99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
ValueCountFrequency (%)
9998 1
< 0.1%
9997 1
< 0.1%
9995 1
< 0.1%
9994 1
< 0.1%
9993 1
< 0.1%
9992 1
< 0.1%
9991 1
< 0.1%
9990 1
< 0.1%
9988 1
< 0.1%
9987 1
< 0.1%

Item_Weight
Real number (ℝ)

HIGH CORRELATION
MISSING
SKEWED

Distinct271
Distinct (%)4.0%
Missing1826
Missing (%)21.0%
Infinite0
Infinite (%)0.0%
Mean743.98089
Minimum5
Maximum943000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:03.617162image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q168
median200
Q3488.75
95-th percentile1600
Maximum943000
Range942995
Interquartile range (IQR)420.75

Descriptive statistics

Standard deviation12102.097
Coefficient of variation (CV)16.266677
Kurtosis5383.7045
Mean743.98089
Median Absolute Deviation (MAD)159
Skewness70.284209
Sum5099245
Variance1.4646075 × 108
MonotonicityNot monotonic
2022-12-12T21:32:03.757788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 463
 
5.3%
100 273
 
3.1%
200 187
 
2.2%
82 178
 
2.1%
118 171
 
2.0%
18 167
 
1.9%
59 164
 
1.9%
41 157
 
1.8%
159 142
 
1.6%
68 136
 
1.6%
Other values (261) 4816
55.5%
(Missing) 1826
 
21.0%
ValueCountFrequency (%)
5 133
 
1.5%
9 463
5.3%
14 38
 
0.4%
18 167
 
1.9%
23 90
 
1.0%
27 59
 
0.7%
32 51
 
0.6%
36 31
 
0.4%
41 157
 
1.8%
45 109
 
1.3%
ValueCountFrequency (%)
943000 1
< 0.1%
204000 1
< 0.1%
154000 1
< 0.1%
148000 1
< 0.1%
112000 1
< 0.1%
50000 1
< 0.1%
33000 1
< 0.1%
26000 1
< 0.1%
25000 2
< 0.1%
24000 1
< 0.1%

manufacturer
Categorical

Distinct2272
Distinct (%)26.2%
Missing1
Missing (%)< 0.1%
Memory size393.7 KiB
Disney
 
160
Oxford Diecast
 
156
Star Wars
 
114
The Puppet Company
 
107
Hasbro
 
105
Other values (2267)
8037 

Length

Max length48
Median length39
Mean length10.631409
Min length1

Characters and Unicode

Total characters92270
Distinct characters86
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1312 ?
Unique (%)15.1%

Sample

1st rowHornby
2nd rowFunkyBuys
3rd rowccf
4th rowHornby
5th rowHornby

Common Values

ValueCountFrequency (%)
Disney 160
 
1.8%
Oxford Diecast 156
 
1.8%
Star Wars 114
 
1.3%
The Puppet Company 107
 
1.2%
Hasbro 105
 
1.2%
Playmobil 104
 
1.2%
Mattel 95
 
1.1%
MyTinyWorld 93
 
1.1%
Corgi 89
 
1.0%
Hornby 87
 
1.0%
Other values (2262) 7569
87.2%

Length

2022-12-12T21:32:03.916025image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the 329
 
2.3%
disney 209
 
1.5%
198
 
1.4%
games 187
 
1.3%
oxford 182
 
1.3%
diecast 161
 
1.1%
star 156
 
1.1%
company 151
 
1.1%
toys 130
 
0.9%
wars 115
 
0.8%
Other values (2605) 12399
87.2%

Most occurring characters

ValueCountFrequency (%)
e 7215
 
7.8%
a 7086
 
7.7%
o 5747
 
6.2%
r 5637
 
6.1%
5538
 
6.0%
i 5147
 
5.6%
s 5110
 
5.5%
n 4337
 
4.7%
t 4280
 
4.6%
l 3450
 
3.7%
Other values (76) 38723
42.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 67313
73.0%
Uppercase Letter 17809
 
19.3%
Space Separator 5538
 
6.0%
Dash Punctuation 615
 
0.7%
Other Punctuation 542
 
0.6%
Decimal Number 368
 
0.4%
Open Punctuation 28
 
< 0.1%
Close Punctuation 28
 
< 0.1%
Other Symbol 19
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7215
10.7%
a 7086
10.5%
o 5747
 
8.5%
r 5637
 
8.4%
i 5147
 
7.6%
s 5110
 
7.6%
n 4337
 
6.4%
t 4280
 
6.4%
l 3450
 
5.1%
y 2431
 
3.6%
Other values (20) 16873
25.1%
Uppercase Letter
ValueCountFrequency (%)
T 1690
 
9.5%
P 1506
 
8.5%
S 1389
 
7.8%
C 1355
 
7.6%
M 1138
 
6.4%
B 973
 
5.5%
D 952
 
5.3%
G 937
 
5.3%
A 898
 
5.0%
R 705
 
4.0%
Other values (16) 6266
35.2%
Decimal Number
ValueCountFrequency (%)
2 168
45.7%
1 55
 
14.9%
0 42
 
11.4%
4 39
 
10.6%
5 26
 
7.1%
3 13
 
3.5%
6 9
 
2.4%
8 7
 
1.9%
9 5
 
1.4%
7 4
 
1.1%
Other Punctuation
ValueCountFrequency (%)
& 171
31.5%
. 139
25.6%
' 115
21.2%
! 56
 
10.3%
, 24
 
4.4%
/ 21
 
3.9%
: 13
 
2.4%
? 2
 
0.4%
" 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
® 18
94.7%
° 1
 
5.3%
Math Symbol
ValueCountFrequency (%)
+ 6
85.7%
| 1
 
14.3%
Modifier Symbol
ValueCountFrequency (%)
^ 1
50.0%
` 1
50.0%
Space Separator
ValueCountFrequency (%)
5538
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 615
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 85122
92.3%
Common 7148
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7215
 
8.5%
a 7086
 
8.3%
o 5747
 
6.8%
r 5637
 
6.6%
i 5147
 
6.0%
s 5110
 
6.0%
n 4337
 
5.1%
t 4280
 
5.0%
l 3450
 
4.1%
y 2431
 
2.9%
Other values (46) 34682
40.7%
Common
ValueCountFrequency (%)
5538
77.5%
- 615
 
8.6%
& 171
 
2.4%
2 168
 
2.4%
. 139
 
1.9%
' 115
 
1.6%
! 56
 
0.8%
1 55
 
0.8%
0 42
 
0.6%
4 39
 
0.5%
Other values (20) 210
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92183
99.9%
None 87
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 7215
 
7.8%
a 7086
 
7.7%
o 5747
 
6.2%
r 5637
 
6.1%
5538
 
6.0%
i 5147
 
5.6%
s 5110
 
5.5%
n 4337
 
4.7%
t 4280
 
4.6%
l 3450
 
3.7%
Other values (70) 38636
41.9%
None
ValueCountFrequency (%)
é 63
72.4%
® 18
 
20.7%
ä 3
 
3.4%
á 1
 
1.1%
° 1
 
1.1%
ê 1
 
1.1%

MAX_Manufacturer_recommended_age
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct16
Distinct (%)0.2%
Missing815
Missing (%)9.4%
Infinite0
Infinite (%)0.0%
Mean7.0582327
Minimum3
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:04.029644image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q312
95-th percentile15
Maximum18
Range15
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.5362411
Coefficient of variation (CV)0.64268795
Kurtosis-1.0131924
Mean7.0582327
Median Absolute Deviation (MAD)2
Skewness0.69711238
Sum55513
Variance20.577483
MonotonicityNot monotonic
2022-12-12T21:32:04.126173image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 3177
36.6%
14 998
 
11.5%
12 616
 
7.1%
8 549
 
6.3%
4 478
 
5.5%
6 473
 
5.4%
5 419
 
4.8%
10 398
 
4.6%
16 253
 
2.9%
7 252
 
2.9%
Other values (6) 252
 
2.9%
(Missing) 815
 
9.4%
ValueCountFrequency (%)
3 3177
36.6%
4 478
 
5.5%
5 419
 
4.8%
6 473
 
5.4%
7 252
 
2.9%
8 549
 
6.3%
9 46
 
0.5%
10 398
 
4.6%
11 9
 
0.1%
12 616
 
7.1%
ValueCountFrequency (%)
18 63
 
0.7%
17 8
 
0.1%
16 253
 
2.9%
15 84
 
1.0%
14 998
11.5%
13 42
 
0.5%
12 616
7.1%
11 9
 
0.1%
10 398
 
4.6%
9 46
 
0.5%

number_in_stock
Real number (ℝ)

Distinct61
Distinct (%)0.9%
Missing2087
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean7.8493857
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:04.266940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q310
95-th percentile26
Maximum92
Range91
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.2982869
Coefficient of variation (CV)1.0571893
Kurtosis8.6460215
Mean7.8493857
Median Absolute Deviation (MAD)3
Skewness2.4731669
Sum51751
Variance68.861566
MonotonicityNot monotonic
2022-12-12T21:32:04.409128image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1159
13.4%
3 874
10.1%
4 680
 
7.8%
5 530
 
6.1%
1 433
 
5.0%
6 414
 
4.8%
7 331
 
3.8%
8 271
 
3.1%
10 188
 
2.2%
9 187
 
2.2%
Other values (51) 1526
17.6%
(Missing) 2087
24.0%
ValueCountFrequency (%)
1 433
 
5.0%
2 1159
13.4%
3 874
10.1%
4 680
7.8%
5 530
6.1%
6 414
 
4.8%
7 331
 
3.8%
8 271
 
3.1%
9 187
 
2.2%
10 188
 
2.2%
ValueCountFrequency (%)
92 1
 
< 0.1%
73 2
< 0.1%
70 1
 
< 0.1%
62 1
 
< 0.1%
60 1
 
< 0.1%
59 1
 
< 0.1%
58 2
< 0.1%
57 2
< 0.1%
56 4
< 0.1%
54 2
< 0.1%
Distinct19
Distinct (%)0.2%
Missing646
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean1.8457804
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:04.539568image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum39
Range38
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.5865793
Coefficient of variation (CV)1.4013472
Kurtosis85.765579
Mean1.8457804
Median Absolute Deviation (MAD)0
Skewness7.7699863
Sum14829
Variance6.6903924
MonotonicityNot monotonic
2022-12-12T21:32:04.652097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 5599
64.5%
2 1275
 
14.7%
3 499
 
5.7%
4 202
 
2.3%
5 145
 
1.7%
6 68
 
0.8%
11 65
 
0.7%
9 49
 
0.6%
7 28
 
0.3%
13 21
 
0.2%
Other values (9) 83
 
1.0%
(Missing) 646
 
7.4%
ValueCountFrequency (%)
1 5599
64.5%
2 1275
 
14.7%
3 499
 
5.7%
4 202
 
2.3%
5 145
 
1.7%
6 68
 
0.8%
7 28
 
0.3%
8 7
 
0.1%
9 49
 
0.6%
10 9
 
0.1%
ValueCountFrequency (%)
39 13
 
0.1%
28 4
 
< 0.1%
23 14
 
0.2%
19 13
 
0.1%
17 1
 
< 0.1%
14 1
 
< 0.1%
13 21
 
0.2%
12 21
 
0.2%
11 65
0.7%
10 9
 
0.1%

number_of_reviews
Real number (ℝ)

Distinct183
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2480415
Minimum1
Maximum1399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:04.773429image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile36
Maximum1399
Range1398
Interquartile range (IQR)5

Descriptive statistics

Standard deviation34.898772
Coefficient of variation (CV)3.7736392
Kurtosis490.36195
Mean9.2480415
Median Absolute Deviation (MAD)1
Skewness17.749078
Sum80273
Variance1217.9243
MonotonicityNot monotonic
2022-12-12T21:32:04.915464image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3716
42.8%
2 1223
 
14.1%
3 686
 
7.9%
4 456
 
5.3%
5 312
 
3.6%
6 241
 
2.8%
7 187
 
2.2%
8 174
 
2.0%
9 144
 
1.7%
12 105
 
1.2%
Other values (173) 1436
 
16.5%
ValueCountFrequency (%)
1 3716
42.8%
2 1223
 
14.1%
3 686
 
7.9%
4 456
 
5.3%
5 312
 
3.6%
6 241
 
2.8%
7 187
 
2.2%
8 174
 
2.0%
9 144
 
1.7%
10 100
 
1.2%
ValueCountFrequency (%)
1399 1
< 0.1%
1040 1
< 0.1%
802 1
< 0.1%
690 1
< 0.1%
649 1
< 0.1%
600 1
< 0.1%
585 1
< 0.1%
561 1
< 0.1%
517 1
< 0.1%
516 1
< 0.1%

price
Real number (ℝ)

SKEWED
ZEROS

Distinct2416
Distinct (%)27.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.782684
Minimum0
Maximum2439.92
Zeros1205
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:05.071965image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.7
median8.9
Q318.4
95-th percentile57.65
Maximum2439.92
Range2439.92
Interquartile range (IQR)15.7

Descriptive statistics

Standard deviation45.554773
Coefficient of variation (CV)2.561749
Kurtosis979.23203
Mean17.782684
Median Absolute Deviation (MAD)6.95
Skewness22.259588
Sum154353.7
Variance2075.2374
MonotonicityNot monotonic
2022-12-12T21:32:05.221478image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1205
 
13.9%
9.99 161
 
1.9%
4.99 125
 
1.4%
14.99 118
 
1.4%
5.99 113
 
1.3%
7.99 111
 
1.3%
12.99 111
 
1.3%
6.99 107
 
1.2%
3.99 98
 
1.1%
19.99 94
 
1.1%
Other values (2406) 6437
74.2%
ValueCountFrequency (%)
0 1205
13.9%
0.01 1
 
< 0.1%
0.37 1
 
< 0.1%
0.39 1
 
< 0.1%
0.5 1
 
< 0.1%
0.55 1
 
< 0.1%
0.6 1
 
< 0.1%
0.64 1
 
< 0.1%
0.65 1
 
< 0.1%
0.7 1
 
< 0.1%
ValueCountFrequency (%)
2439.92 1
< 0.1%
995.11 1
< 0.1%
719.95 1
< 0.1%
648.95 1
< 0.1%
629.95 1
< 0.1%
592.95 1
< 0.1%
568.12 1
< 0.1%
538.73 1
< 0.1%
486.95 1
< 0.1%
476.99 1
< 0.1%
Distinct7863
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size393.7 KiB
Welcome to k2 we offer combined items postage UK combined items postage discount 100 PH for combined items under 1000 200 350 PH for combined items between 10 to 50 Free PH for the shipment when combined items order over 50
 
113
Our car models are in scale and true to the original models for adult collectors not toys for children
 
71
Suitable for the following scales HO Scale
 
30
Product Description This thirty eight centimetre long glove puppet is great for play or for puppet performances Made of high quality material with excellent attention to details in the construction the animal will be a firm favourite The mouth and paws are movable Children and adults alike are fascinated and enchanted by the magic of puppetry and the mystical puppets from The Puppet Company take the art to a whole new dimension Puppets encourage children to be creative use their imagination to tell exciting stories to bring fairy tales to life to entertain and to have fun The Puppet Company have been producing high quality toys for many years and have built their reputation on their ability to translate any animal or character into a beautifully made and wellfunctioning puppet Box Contains 1 x Long Sleeved Glove Puppet
 
28
Suitable for the following scales N Scale
 
25
Other values (7858)
8413 

Length

Max length68104
Median length1367
Mean length417.25403
Min length0

Characters and Unicode

Total characters3621765
Distinct characters99
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7627 ?
Unique (%)87.9%

Sample

1st rowProduct Description Hornby 2014 Catalogue Box Contains 1 x one catalogue
2nd rowSize NameLarge FunkyBuys Large Christmas Holiday Express Festive Train Set SITY1017 Toy Light Sounds Battery Operated Smoke
3rd rowBIG CLASSIC TOY TRAIN SET TRACK CARRIAGE LIGHT ENGINE SOUND BOXED KIDS BATTERY Railway Train Set with Light Sound Big Size Curved Track Free Wheeling Action Working Headlight Sound Horn The Track Can Also Be Assembled In More Layouts Length Of Track 104 cm WIDTH OF THE TRACK 68 CM Finely Detailed Realistic Toy Train REQUIRES 2 AA BATTERIES NOT INCLUDED
4th rowHornby 00 Gauge BR Hawksworth 3rd Class W 2107 W R4410A
5th rowProduct Description Hornby RailRoad 040 Gildenlow Salt Co 00 gauge steam locomotive model Safety warning This product is not suitable for children under 3 years because of small parts which could present a choking hazard Some components have functional sharp edges Handle with care Only use this product with the recommended transformer Made in China Box Contains 1x Steam Locomotive Model

Common Values

ValueCountFrequency (%)
Welcome to k2 we offer combined items postage UK combined items postage discount 100 PH for combined items under 1000 200 350 PH for combined items between 10 to 50 Free PH for the shipment when combined items order over 50 113
 
1.3%
Our car models are in scale and true to the original models for adult collectors not toys for children 71
 
0.8%
Suitable for the following scales HO Scale 30
 
0.3%
Product Description This thirty eight centimetre long glove puppet is great for play or for puppet performances Made of high quality material with excellent attention to details in the construction the animal will be a firm favourite The mouth and paws are movable Children and adults alike are fascinated and enchanted by the magic of puppetry and the mystical puppets from The Puppet Company take the art to a whole new dimension Puppets encourage children to be creative use their imagination to tell exciting stories to bring fairy tales to life to entertain and to have fun The Puppet Company have been producing high quality toys for many years and have built their reputation on their ability to translate any animal or character into a beautifully made and wellfunctioning puppet Box Contains 1 x Long Sleeved Glove Puppet 28
 
0.3%
Suitable for the following scales N Scale 25
 
0.3%
9ft long 24
 
0.3%
Suitable for the following scales OO Scale 22
 
0.3%
Color and style may vary 14
 
0.2%
Product Description As one of Amscan Internationals most popular lines you can rest assured the product will be of high quality safe and of innovative design Box Contains One Retail Pack 13
 
0.1%
Japanese toys 13
 
0.1%
Other values (7853) 8327
95.9%

Length

2022-12-12T21:32:05.393363image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the 27600
 
4.5%
and 20466
 
3.4%
to 12619
 
2.1%
of 12223
 
2.0%
a 11842
 
1.9%
for 8557
 
1.4%
with 7944
 
1.3%
in 7870
 
1.3%
is 7494
 
1.2%
x 4881
 
0.8%
Other values (35310) 487649
80.1%

Most occurring characters

ValueCountFrequency (%)
607196
16.8%
e 324189
 
9.0%
a 234909
 
6.5%
t 226338
 
6.2%
i 208756
 
5.8%
o 207781
 
5.7%
n 189076
 
5.2%
r 188125
 
5.2%
s 180735
 
5.0%
l 135848
 
3.8%
Other values (89) 1118812
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2759943
76.2%
Space Separator 608209
 
16.8%
Uppercase Letter 186231
 
5.1%
Decimal Number 66794
 
1.8%
Connector Punctuation 551
 
< 0.1%
Other Number 28
 
< 0.1%
Control 6
 
< 0.1%
Other Letter 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 324189
11.7%
a 234909
 
8.5%
t 226338
 
8.2%
i 208756
 
7.6%
o 207781
 
7.5%
n 189076
 
6.9%
r 188125
 
6.8%
s 180735
 
6.5%
l 135848
 
4.9%
d 112876
 
4.1%
Other values (35) 751310
27.2%
Uppercase Letter
ValueCountFrequency (%)
T 18390
 
9.9%
S 15206
 
8.2%
C 15034
 
8.1%
P 14866
 
8.0%
A 11664
 
6.3%
D 11230
 
6.0%
B 10881
 
5.8%
M 9209
 
4.9%
I 8443
 
4.5%
E 7946
 
4.3%
Other values (26) 63362
34.0%
Decimal Number
ValueCountFrequency (%)
1 15944
23.9%
0 11636
17.4%
2 8578
12.8%
3 6250
 
9.4%
5 5562
 
8.3%
4 5375
 
8.0%
6 3939
 
5.9%
8 3492
 
5.2%
9 3206
 
4.8%
7 2812
 
4.2%
Other Number
ValueCountFrequency (%)
½ 24
85.7%
¼ 2
 
7.1%
¾ 2
 
7.1%
Space Separator
ValueCountFrequency (%)
607196
99.8%
  1013
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 551
100.0%
Control
ValueCountFrequency (%)
… 6
100.0%
Other Letter
ValueCountFrequency (%)
º 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2946177
81.3%
Common 675588
 
18.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 324189
 
11.0%
a 234909
 
8.0%
t 226338
 
7.7%
i 208756
 
7.1%
o 207781
 
7.1%
n 189076
 
6.4%
r 188125
 
6.4%
s 180735
 
6.1%
l 135848
 
4.6%
d 112876
 
3.8%
Other values (72) 937544
31.8%
Common
ValueCountFrequency (%)
607196
89.9%
1 15944
 
2.4%
0 11636
 
1.7%
2 8578
 
1.3%
3 6250
 
0.9%
5 5562
 
0.8%
4 5375
 
0.8%
6 3939
 
0.6%
8 3492
 
0.5%
9 3206
 
0.5%
Other values (7) 4410
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3620349
> 99.9%
None 1416
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
607196
16.8%
e 324189
 
9.0%
a 234909
 
6.5%
t 226338
 
6.3%
i 208756
 
5.8%
o 207781
 
5.7%
n 189076
 
5.2%
r 188125
 
5.2%
s 180735
 
5.0%
l 135848
 
3.8%
Other values (54) 1117396
30.9%
None
ValueCountFrequency (%)
  1013
71.5%
é 171
 
12.1%
â 27
 
1.9%
ü 26
 
1.8%
½ 24
 
1.7%
à 19
 
1.3%
è 17
 
1.2%
ö 16
 
1.1%
ä 15
 
1.1%
ê 13
 
0.9%
Other values (25) 75
 
5.3%

Product_Dimensions_X
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct628
Distinct (%)9.4%
Missing2015
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean24.075109
Minimum0.1
Maximum818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:05.546940image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile3.8
Q111.8
median19.7
Q330
95-th percentile52.1
Maximum818
Range817.9
Interquartile range (IQR)18.2

Descriptive statistics

Standard deviation28.117883
Coefficient of variation (CV)1.1679234
Kurtosis270.08094
Mean24.075109
Median Absolute Deviation (MAD)9
Skewness12.437066
Sum160460.6
Variance790.61532
MonotonicityNot monotonic
2022-12-12T21:32:05.685867image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.2 137
 
1.6%
30 105
 
1.2%
19 100
 
1.2%
25.4 92
 
1.1%
14 90
 
1.0%
10 88
 
1.0%
7.6 86
 
1.0%
20.3 79
 
0.9%
10.2 76
 
0.9%
17.8 76
 
0.9%
Other values (618) 5736
66.1%
(Missing) 2015
 
23.2%
ValueCountFrequency (%)
0.1 17
0.2%
0.2 7
 
0.1%
0.3 5
 
0.1%
0.4 3
 
< 0.1%
0.5 9
 
0.1%
0.6 4
 
< 0.1%
0.7 1
 
< 0.1%
0.8 6
 
0.1%
0.9 1
 
< 0.1%
1 26
0.3%
ValueCountFrequency (%)
818 1
< 0.1%
750 2
< 0.1%
500 1
< 0.1%
470 1
< 0.1%
405 1
< 0.1%
365.8 1
< 0.1%
350 1
< 0.1%
325 1
< 0.1%
305 1
< 0.1%
290 1
< 0.1%

Product_Dimensions_Y
Real number (ℝ)

HIGH CORRELATION
MISSING
SKEWED

Distinct466
Distinct (%)7.0%
Missing2015
Missing (%)23.2%
Infinite0
Infinite (%)0.0%
Mean16.244036
Minimum0.1
Maximum5148.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:05.842171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile2.5
Q17
median12.5
Q320
95-th percentile34.46
Maximum5148.6
Range5148.5
Interquartile range (IQR)13

Descriptive statistics

Standard deviation64.679551
Coefficient of variation (CV)3.9817414
Kurtosis5951.7509
Mean16.244036
Median Absolute Deviation (MAD)6.3
Skewness75.056084
Sum108266.5
Variance4183.4443
MonotonicityNot monotonic
2022-12-12T21:32:05.988225image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.2 174
 
2.0%
7.6 167
 
1.9%
15.2 144
 
1.7%
5.1 127
 
1.5%
2.5 113
 
1.3%
14 112
 
1.3%
3.8 109
 
1.3%
12.7 105
 
1.2%
12 97
 
1.1%
6.4 97
 
1.1%
Other values (456) 5420
62.4%
(Missing) 2015
 
23.2%
ValueCountFrequency (%)
0.1 30
0.3%
0.2 10
 
0.1%
0.3 14
 
0.2%
0.4 1
 
< 0.1%
0.5 26
0.3%
0.6 7
 
0.1%
0.7 1
 
< 0.1%
0.8 5
 
0.1%
0.9 3
 
< 0.1%
1 47
0.5%
ValueCountFrequency (%)
5148.6 1
< 0.1%
190 1
< 0.1%
183 2
< 0.1%
182 1
< 0.1%
180.3 2
< 0.1%
180 1
< 0.1%
178 1
< 0.1%
168 1
< 0.1%
160 2
< 0.1%
157.5 1
< 0.1%

Product_Dimensions_Z
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct430
Distinct (%)6.5%
Missing2051
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean11.951169
Minimum0.1
Maximum290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.7 KiB
2022-12-12T21:32:06.130320image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile1
Q13.8
median7.2
Q315.2
95-th percentile37
Maximum290
Range289.9
Interquartile range (IQR)11.4

Descriptive statistics

Standard deviation14.832364
Coefficient of variation (CV)1.2410806
Kurtosis60.213364
Mean11.951169
Median Absolute Deviation (MAD)4.5
Skewness5.3672254
Sum79224.3
Variance219.99903
MonotonicityNot monotonic
2022-12-12T21:32:06.275113image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.1 152
 
1.8%
3.8 131
 
1.5%
3 129
 
1.5%
2 128
 
1.5%
4 122
 
1.4%
7.6 120
 
1.4%
5 117
 
1.3%
6 113
 
1.3%
2.5 106
 
1.2%
1 101
 
1.2%
Other values (420) 5410
62.3%
(Missing) 2051
 
23.6%
ValueCountFrequency (%)
0.1 28
 
0.3%
0.2 42
0.5%
0.3 38
 
0.4%
0.4 30
 
0.3%
0.5 56
0.6%
0.6 56
0.6%
0.7 2
 
< 0.1%
0.8 50
0.6%
0.9 2
 
< 0.1%
1 101
1.2%
ValueCountFrequency (%)
290 1
< 0.1%
280 1
< 0.1%
220 1
< 0.1%
211 1
< 0.1%
182.9 2
< 0.1%
174 1
< 0.1%
128 1
< 0.1%
122.5 1
< 0.1%
121.9 1
< 0.1%
120 1
< 0.1%

product_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct8650
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size393.7 KiB
Zoo Animal Hand Sock Glove Finger Puppets Sack Plush Toy Cow
 
3
INTEX Inflatable Swimming Paddling Play Pool 3 Ring Blue Toy Kids Childs Childrens Baby Family Sizes - 45'' , 58'' , 66'' Diameter (58'' x 13'')
 
2
Optimus Prime DMK 01 Transformers Movie Dual Model Kit
 
2
Happy 6th Birthday Giant Party Wall Banner 3 Banners Age 6 Party Decoration
 
2
Crayola - 9 Glitter Glue
 
2
Other values (8645)
8669 

Length

Max length536
Median length182
Mean length54.040092
Min length3

Characters and Unicode

Total characters469068
Distinct characters122
Distinct categories18 ?
Distinct scripts2 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8621 ?
Unique (%)99.3%

Sample

1st rowHornby 2014 Catalogue
2nd rowFunkyBuys® Large Christmas Holiday Express Festive Train Set (SI-TY1017) Toy Light / Sounds / Battery Operated & Smoke
3rd rowCLASSIC TOY TRAIN SET TRACK CARRIAGES LIGHT ENGINE BOXED BOYS KIDS BATTERY
4th rowHORNBY Coach R4410A BR Hawksworth Corridor 3rd
5th rowHornby 00 Gauge 0-4-0 Gildenlow Salt Co. Steam Locomotive Model

Common Values

ValueCountFrequency (%)
Zoo Animal Hand Sock Glove Finger Puppets Sack Plush Toy Cow 3
 
< 0.1%
INTEX Inflatable Swimming Paddling Play Pool 3 Ring Blue Toy Kids Childs Childrens Baby Family Sizes - 45'' , 58'' , 66'' Diameter (58'' x 13'') 2
 
< 0.1%
Optimus Prime DMK 01 Transformers Movie Dual Model Kit 2
 
< 0.1%
Happy 6th Birthday Giant Party Wall Banner 3 Banners Age 6 Party Decoration 2
 
< 0.1%
Crayola - 9 Glitter Glue 2
 
< 0.1%
100 six sided dice, 14mm, random colours 2
 
< 0.1%
Playmobil 6678 Large Floating Pirate Raiders' Ship with 3 Pirates 2
 
< 0.1%
XT-XINTE FQ777-124 Pocket Drone 4CH 6Axis Gyro UFO Quadcopter With Switchable Controller RTF Helicopter (Black) 2
 
< 0.1%
Melissa & Doug Princess Puppet 2
 
< 0.1%
The Trash Pack Sewer Truck 2
 
< 0.1%
Other values (8640) 8659
99.8%

Length

2022-12-12T21:32:06.437093image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3656
 
4.7%
the 786
 
1.0%
of 686
 
0.9%
set 653
 
0.8%
and 625
 
0.8%
pack 544
 
0.7%
with 542
 
0.7%
scale 535
 
0.7%
model 526
 
0.7%
figure 519
 
0.7%
Other values (13662) 68193
88.3%

Most occurring characters

ValueCountFrequency (%)
68582
 
14.6%
e 34353
 
7.3%
a 28059
 
6.0%
r 23481
 
5.0%
i 22977
 
4.9%
o 22227
 
4.7%
t 19222
 
4.1%
n 18639
 
4.0%
l 17262
 
3.7%
s 16801
 
3.6%
Other values (112) 197465
42.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 284472
60.6%
Uppercase Letter 79346
 
16.9%
Space Separator 68586
 
14.6%
Decimal Number 22781
 
4.9%
Other Punctuation 6136
 
1.3%
Dash Punctuation 4234
 
0.9%
Open Punctuation 1586
 
0.3%
Close Punctuation 1579
 
0.3%
Math Symbol 235
 
0.1%
Other Symbol 94
 
< 0.1%
Other values (8) 19
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 34353
12.1%
a 28059
 
9.9%
r 23481
 
8.3%
i 22977
 
8.1%
o 22227
 
7.8%
t 19222
 
6.8%
n 18639
 
6.6%
l 17262
 
6.1%
s 16801
 
5.9%
c 10515
 
3.7%
Other values (24) 70936
24.9%
Uppercase Letter
ValueCountFrequency (%)
S 7476
 
9.4%
C 6403
 
8.1%
P 6080
 
7.7%
T 5605
 
7.1%
B 5081
 
6.4%
M 4805
 
6.1%
D 4410
 
5.6%
A 4397
 
5.5%
R 3968
 
5.0%
F 3549
 
4.5%
Other values (18) 27572
34.7%
Other Punctuation
ValueCountFrequency (%)
, 1252
20.4%
. 1052
17.1%
: 1028
16.8%
/ 775
12.6%
& 580
9.5%
" 575
9.4%
' 471
 
7.7%
! 198
 
3.2%
# 103
 
1.7%
* 70
 
1.1%
Other values (5) 32
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 4647
20.4%
0 4357
19.1%
2 3004
13.2%
3 2093
9.2%
5 1914
8.4%
4 1864
8.2%
6 1567
 
6.9%
7 1260
 
5.5%
8 1157
 
5.1%
9 918
 
4.0%
Other Symbol
ValueCountFrequency (%)
® 65
69.1%
16
 
17.0%
5
 
5.3%
° 3
 
3.2%
2
 
2.1%
1
 
1.1%
1
 
1.1%
© 1
 
1.1%
Math Symbol
ValueCountFrequency (%)
+ 181
77.0%
~ 34
 
14.5%
| 14
 
6.0%
= 4
 
1.7%
> 1
 
0.4%
× 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 1457
92.3%
] 111
 
7.0%
} 10
 
0.6%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1465
92.4%
[ 111
 
7.0%
{ 10
 
0.6%
Currency Symbol
ValueCountFrequency (%)
£ 2
50.0%
$ 1
25.0%
¢ 1
25.0%
Space Separator
ValueCountFrequency (%)
68582
> 99.9%
  4
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
` 5
83.3%
¨ 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 4234
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 1
100.0%
Final Punctuation
ValueCountFrequency (%)
» 1
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%
Other Letter
ValueCountFrequency (%)
ª 1
100.0%
Control
ValueCountFrequency (%)
™ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 363819
77.6%
Common 105249
 
22.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 34353
 
9.4%
a 28059
 
7.7%
r 23481
 
6.5%
i 22977
 
6.3%
o 22227
 
6.1%
t 19222
 
5.3%
n 18639
 
5.1%
l 17262
 
4.7%
s 16801
 
4.6%
c 10515
 
2.9%
Other values (53) 150283
41.3%
Common
ValueCountFrequency (%)
68582
65.2%
1 4647
 
4.4%
0 4357
 
4.1%
- 4234
 
4.0%
2 3004
 
2.9%
3 2093
 
2.0%
5 1914
 
1.8%
4 1864
 
1.8%
6 1567
 
1.5%
( 1465
 
1.4%
Other values (49) 11522
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 468912
> 99.9%
None 130
 
< 0.1%
Dingbats 16
 
< 0.1%
Misc Symbols 8
 
< 0.1%
Specials 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68582
 
14.6%
e 34353
 
7.3%
a 28059
 
6.0%
r 23481
 
5.0%
i 22977
 
4.9%
o 22227
 
4.7%
t 19222
 
4.1%
n 18639
 
4.0%
l 17262
 
3.7%
s 16801
 
3.6%
Other values (81) 197309
42.1%
None
ValueCountFrequency (%)
® 65
50.0%
ß 10
 
7.7%
é 10
 
7.7%
ü 9
 
6.9%
ä 6
 
4.6%
ö 4
 
3.1%
  4
 
3.1%
° 3
 
2.3%
à 2
 
1.5%
£ 2
 
1.5%
Other values (15) 15
 
11.5%
Dingbats
ValueCountFrequency (%)
16
100.0%
Misc Symbols
ValueCountFrequency (%)
5
62.5%
2
 
25.0%
1
 
12.5%
Specials
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

sub_category
Categorical

Distinct231
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size393.7 KiB
Vehicles
856 
Toys
 
582
Science Fiction & Fantasy
 
467
Bead Art & Jewellery-Making
 
344
Dice & Dice Games
 
273
Other values (226)
6158 

Length

Max length36
Median length27
Mean length12.945046
Min length3

Characters and Unicode

Total characters112363
Distinct characters56
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)0.9%

Sample

1st rowTrains
2nd rowTrains
3rd rowTrains
4th rowTrains
5th rowTrains

Common Values

ValueCountFrequency (%)
Vehicles 856
 
9.9%
Toys 582
 
6.7%
Science Fiction & Fantasy 467
 
5.4%
Bead Art & Jewellery-Making 344
 
4.0%
Dice & Dice Games 273
 
3.1%
Packs & Sets 251
 
2.9%
Banners 248
 
2.9%
Hand Puppets 235
 
2.7%
Card Games 232
 
2.7%
Balloons 223
 
2.6%
Other values (221) 4969
57.2%

Length

2022-12-12T21:32:06.594909image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2843
 
15.4%
vehicles 859
 
4.6%
games 792
 
4.3%
toys 769
 
4.2%
accessories 612
 
3.3%
dice 546
 
3.0%
science 467
 
2.5%
fiction 467
 
2.5%
fantasy 467
 
2.5%
sets 428
 
2.3%
Other values (313) 10237
55.4%

Most occurring characters

ValueCountFrequency (%)
s 11927
 
10.6%
e 10841
 
9.6%
9807
 
8.7%
a 7585
 
6.8%
i 7183
 
6.4%
o 5966
 
5.3%
c 5474
 
4.9%
r 5161
 
4.6%
n 5027
 
4.5%
t 5010
 
4.5%
Other values (46) 38382
34.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 82973
73.8%
Uppercase Letter 16047
 
14.3%
Space Separator 9807
 
8.7%
Other Punctuation 3097
 
2.8%
Dash Punctuation 395
 
0.4%
Decimal Number 44
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 11927
14.4%
e 10841
13.1%
a 7585
9.1%
i 7183
8.7%
o 5966
7.2%
c 5474
 
6.6%
r 5161
 
6.2%
n 5027
 
6.1%
t 5010
 
6.0%
l 4685
 
5.6%
Other values (16) 14114
17.0%
Uppercase Letter
ValueCountFrequency (%)
T 2225
13.9%
S 1717
10.7%
P 1403
8.7%
F 1303
8.1%
A 1263
7.9%
C 1149
 
7.2%
D 1146
 
7.1%
B 1126
 
7.0%
V 890
 
5.5%
G 863
 
5.4%
Other values (13) 2962
18.5%
Other Punctuation
ValueCountFrequency (%)
& 2843
91.8%
' 213
 
6.9%
, 41
 
1.3%
Decimal Number
ValueCountFrequency (%)
3 43
97.7%
4 1
 
2.3%
Space Separator
ValueCountFrequency (%)
9807
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 395
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 99020
88.1%
Common 13343
 
11.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 11927
 
12.0%
e 10841
 
10.9%
a 7585
 
7.7%
i 7183
 
7.3%
o 5966
 
6.0%
c 5474
 
5.5%
r 5161
 
5.2%
n 5027
 
5.1%
t 5010
 
5.1%
l 4685
 
4.7%
Other values (39) 30161
30.5%
Common
ValueCountFrequency (%)
9807
73.5%
& 2843
 
21.3%
- 395
 
3.0%
' 213
 
1.6%
3 43
 
0.3%
, 41
 
0.3%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 11927
 
10.6%
e 10841
 
9.6%
9807
 
8.7%
a 7585
 
6.8%
i 7183
 
6.4%
o 5966
 
5.3%
c 5474
 
4.9%
r 5161
 
4.6%
n 5027
 
4.5%
t 5010
 
4.5%
Other values (46) 38382
34.2%

type_product
Categorical

Distinct4
Distinct (%)0.1%
Missing2087
Missing (%)24.0%
Memory size393.7 KiB
new
6452 
used
 
128
collectible
 
11
refurbished
 
2

Length

Max length11
Median length3
Mean length3.0351888
Min length3

Characters and Unicode

Total characters20011
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownew
2nd rownew
3rd rownew
4th rownew
5th rownew

Common Values

ValueCountFrequency (%)
new 6452
74.3%
used 128
 
1.5%
collectible 11
 
0.1%
refurbished 2
 
< 0.1%
(Missing) 2087
 
24.0%

Length

2022-12-12T21:32:06.721167image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2022-12-12T21:32:06.832097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
new 6452
97.9%
used 128
 
1.9%
collectible 11
 
0.2%
refurbished 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 6606
33.0%
n 6452
32.2%
w 6452
32.2%
u 130
 
0.6%
s 130
 
0.6%
d 130
 
0.6%
l 33
 
0.2%
c 22
 
0.1%
i 13
 
0.1%
b 13
 
0.1%
Other values (5) 30
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20011
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 6606
33.0%
n 6452
32.2%
w 6452
32.2%
u 130
 
0.6%
s 130
 
0.6%
d 130
 
0.6%
l 33
 
0.2%
c 22
 
0.1%
i 13
 
0.1%
b 13
 
0.1%
Other values (5) 30
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 20011
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 6606
33.0%
n 6452
32.2%
w 6452
32.2%
u 130
 
0.6%
s 130
 
0.6%
d 130
 
0.6%
l 33
 
0.2%
c 22
 
0.1%
i 13
 
0.1%
b 13
 
0.1%
Other values (5) 30
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20011
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 6606
33.0%
n 6452
32.2%
w 6452
32.2%
u 130
 
0.6%
s 130
 
0.6%
d 130
 
0.6%
l 33
 
0.2%
c 22
 
0.1%
i 13
 
0.1%
b 13
 
0.1%
Other values (5) 30
 
0.1%

Interactions

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2022-12-12T21:31:57.680310image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:59.167788image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:32:00.712154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2022-12-12T21:31:47.038243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:48.751134image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:51.667891image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:53.162411image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2022-12-12T21:31:45.788404image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:47.161783image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:48.870377image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:51.785185image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:53.290028image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:54.788752image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:56.465390image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:57.955537image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-12-12T21:31:59.422524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-12-12T21:32:06.941467image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:
  • Variable_type-Variable_type : Method, Range
  • Categorical-Categorical : Cramer's V, [0,1]
  • Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
  • Numerical-Numerical : Spearman's ρ, [-1,1]
The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.
2022-12-12T21:32:07.165838image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-12-12T21:32:07.370551image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-12-12T21:32:07.590782image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-12-12T21:32:07.795326image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-12-12T21:32:07.929718image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-12-12T21:32:01.043265image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-12-12T21:32:01.371765image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-12-12T21:32:01.660415image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

df_indexproduct_namemanufacturerpricenumber_of_reviewsnumber_of_answered_questionsaverage_review_ratingproduct_descriptioncustomer_questions_and_answerscustomer_reviewssub_categorycategorytype_productnumber_in_stockcustomer_reviewdate_reviewsItem_WeightProduct_Dimensions_XProduct_Dimensions_YProduct_Dimensions_ZMAX_Manufacturer_recommended_age
00Hornby 2014 CatalogueHornby3.4215.01.04.9Product Description Hornby 2014 Catalogue Box Contains 1 x one catalogueDoes this catalogue detail all the previous Hornby products please HiThe 2014 catalogue does indeed detail previous models but also includes new releases for 2014You would be advised to purchase models as you need them to avoid them being discontinued in subsequent years\n \n see more\n \n \n \n HiThe 2014 catalogue does indeed detail previous models but also includes new releases for 2014You would be advised to purchase models as you need them to avoid them being discontinued in subsequent yearsHope this helps\n \n see lessWorth Buying For The Pictures Alone As EverTrainsHobbiesnew5.04.006/04/2014640.029.620.81.06.0
11FunkyBuys® Large Christmas Holiday Express Festive Train Set (SI-TY1017) Toy Light / Sounds / Battery Operated & SmokeFunkyBuys16.992.01.04.5Size NameLarge FunkyBuys Large Christmas Holiday Express Festive Train Set SITY1017 Toy Light Sounds Battery Operated Smokecan you turn off sounds hi no you cant turn sound offFour StarsTrainsHobbiesNaNNaN4.018/12/2015NaNNaNNaNNaN3.0
22CLASSIC TOY TRAIN SET TRACK CARRIAGES LIGHT ENGINE BOXED BOYS KIDS BATTERYccf9.9917.02.03.9BIG CLASSIC TOY TRAIN SET TRACK CARRIAGE LIGHT ENGINE SOUND BOXED KIDS BATTERY Railway Train Set with Light Sound Big Size Curved Track Free Wheeling Action Working Headlight Sound Horn The Track Can Also Be Assembled In More Layouts Length Of Track 104 cm WIDTH OF THE TRACK 68 CM Finely Detailed Realistic Toy Train REQUIRES 2 AA BATTERIES NOT INCLUDEDWhat is the gauge of the track Hi PaulTruthfully Im not sure But its very much alike to a 00 gauge But this train set isnt an addon for an electric train set nor has nothing to do with oneI bought this for my 4 year old nephew as he adores trains but is far too young for an electric set He was VERY happy with this though what is the layout of the tracks Its an oval shape layoutHighly RecommendedTrainsHobbiesnew2.05.026/05/2015NaNNaNNaNNaN3.0
33HORNBY Coach R4410A BR Hawksworth Corridor 3rdHornby39.991.02.05.0Hornby 00 Gauge BR Hawksworth 3rd Class W 2107 W R4410AnanI love itTrainsHobbiesNaNNaN5.022/07/2013259.031.69.24.63.0
44Hornby 00 Gauge 0-4-0 Gildenlow Salt Co. Steam Locomotive ModelHornby32.193.02.04.7Product Description Hornby RailRoad 040 Gildenlow Salt Co 00 gauge steam locomotive model Safety warning This product is not suitable for children under 3 years because of small parts which could present a choking hazard Some components have functional sharp edges Handle with care Only use this product with the recommended transformer Made in China Box Contains 1x Steam Locomotive ModelnanBirthday presentTrainsHobbiesNaNNaN5.014/04/2014159.018.410.26.04.0
5520pcs Model Garden Light Double Heads Lamppost Scale 1:100Generic6.992.01.05.0These delicate model garden lights are mainly used in teaching photography and various kinds of scene model Each of them is completed with wires and has double heads which can be lighten with 6V power These model lights measure about 7cm high Light up your model layout with this great model lamppost Description A pack of 20pcs model garden lamps Each has double head completed with wires and bulbs Mainly used to decorate your model layout Voltage 6V Power 1 W Height Approx 276 inch 7cm Scale 1100 Material Plastic Main Color Black Note Each lamp has 4 wires altogether When you connect these wires with the power please connect two long wires with one end and connect the rest two short wires with another end Package Include 20pcs model garden lightsis it possible to replace thr grain of wheat lamps with leds Hi Pete No its not possible the main pole is to thin to take readily available LEDs wiring I was hoping to do this myself but it would mean rewireing the LEDs with thin enough wire that I have not managed to track down yet I will be trying by using the existing wire Tricky job cutting the tops off the lantern and \n \n see more\n \n \n \n Hi Pete No its not possible the main pole is to thin to take readily available LEDs wiring I was hoping to do this myself but it would mean rewireing the LEDs with thin enough wire that I have not managed to track down yet I will be trying by using the existing wire Tricky job cutting the tops off the lantern and hoping I can pull enough wire through to solder the led back on That I will be trying in the next few months Hope I may have been some help good luck Derryck\n \n see lessFive StarsLamps & LightingHobbiesNaNNaN5.027/12/2014NaNNaNNaNNaN3.0
66Hornby 00 Gauge 230mm BR Bogie Passenger Brake Coach Model (Red)Hornby24.992.01.04.5Product Description Hornby BR bogie passenger brake coach has pristine finish Livery BR red livery Entered Service 1930 Period 1950 230mm coach model length The truly fascinating and varied range of Hornby coaches offers something for most enthusiasts modelling the various regions and periods of the British rail network Box Contains 1x Red Bogie Passenger BrakenanHigh standard model well worth the wait ReplacesTrainsHobbiesNaNNaN5.003/10/2014222.031.09.24.63.0
77Hornby Santa's Express Train SetHornby69.9336.07.04.3Product Description Inject a bit of Hornby magic into Christmas with the special Santas Express Train Set The set includes everything you need to get started including Santas festive train an oval track power transformer and mat Whether this is your first train set or youre a seasoned modeller Santas Express will delight young and old alike and is sure to become a festive favourite for a spectacular Christmas decoration build the set around the base of your Christmas tree or use as a moving table centre add some Christmas cheer to your existing model railwaySantas special train includes his very own steam engine a wagon full of presents and a closed van in which he keeps his reindeer The spritely little engine in its colourful livery is more than capable of pulling such an important train around the oval of track included in this set Additional track packs can be obtained to make the layout larger and even more exciting and there is even a Hornby MidiMat included so you can see how Santas Special train set can grow and grow into a truly exciting model railway Contents Santas Express 040 locomotive 7 Plank Open Wagon with lots of presents Reindeer Box Van 3rd Radius Starter Oval Power Track and Track Straight R8250 Train Controller P9000 Transformer Hornby MidiMat 1600 x 1180mm This item will be supplied with a UK transformer Box Contains 1x Santas Express 040 locomotive 7x Plank Open Wagon 1x Reindeer Box Van 1x 3rd Radius Starter Oval 1x Power Track and Track Straight 1xR8250 Train Controller 1x P9000 Transformer 1x Hornby MidiMat 1600 x 1180mmCan this train go backwards as well as forward Yes Variable speed in both directions Is this train set OO Gauge Yes it is can it sit directly on carpet or will i need a board to put it on The train set can be run on carpet although a board is more beneficial Hi does this play Christmas sound effects thanks Hi no sound effects is the carriages and engine hard plastic Yes they are It is a lovely piece kids loved it the grown ups even more How long is the track Its about 4 feet long each side Then theres the 2 bends one each end How long is the Santa express train and its carriages in total from engine to end of last carriage Thanks 12 inches longBeautiful setTrainsHobbiesnew3.05.003/12/20151200.040.029.88.08.0
88Hornby Gauge Western Express Digital Train Set with eLink and TTS Loco Train SetHornby235.581.01.05.0Western Express Digital Train Set with eLink and TTS sound loco Set Hornby R1184The description is incorrect the hornby site provides the following contents gwr ketley hall hall class 460 locomotive correct Another Seller has entered the wrong description you are right it is the Ketley Hall locomotiveFive StarsTrainsHobbiesnew4.05.023/12/20152300.080.424.08.28.0
99Learning Curve Chuggington Interactive ChatsworthChuggington0.008.01.04.8Product Description An amazingly Interactive Chuggington World Chuggington Interactive Chatsworth instantly recognises and magically talks to any other engine training stop and set accessories This engine has over 60 sounds and phrases when used with other Chuggington interactive products Featuring the actual voice from the Chuggington show Each Interactive talking engine features Smart Talk technology which enables them to instantly recognise any other engine react to any train stop and respond to your play Chuggington Interactive is a magical open ended play system featuring iconic destinations and characters from the BBCs CBeebies top rated preschool show Chuggington Chatsworth is a very proper engine who lives next door to Harrison in the upper level of the roundhouse Chatsworth is honest good mannered polite and considerate of others however he considers himself as the upper crust of Chuggington On time clean and in fine repair Chatsworth always presents his best wheel forward as first impressions are very important to him Engines recognise and magically talk to each other training stops and set accessories Requires 2 x AA batteries included Box Contains 1 x Interactive Chatsworth enginenanChuggers are goTrainsHobbiesnew1.04.011/01/2011150.012.74.46.7NaN
df_indexproduct_namemanufacturerpricenumber_of_reviewsnumber_of_answered_questionsaverage_review_ratingproduct_descriptioncustomer_questions_and_answerscustomer_reviewssub_categorycategorytype_productnumber_in_stockcustomer_reviewdate_reviewsItem_WeightProduct_Dimensions_XProduct_Dimensions_YProduct_Dimensions_ZMAX_Manufacturer_recommended_age
99879987Thundercats 10cm Action Figure: WilykatThundercats11.443.03.04.7ThunderCats WilyKat 4 Action Figure ToynanA reboot of Thundercats for a new generationCollectible Props & MemorabiliaHobbiesnew3.05.017/07/201268.03.814.021.04.0
99889988Captain America - The First Avenger - Movie Series - Red Skull - Action Figure 08 - 31688Captain america25.332.03.04.0Captain America The First Avenger Movie Series Red Skull Action Figure 08 31688 RED SKULL is an evil genius with an endless hunger for power He wants nothing more than to see CAPTAIN AMERICA destroyed He creates even more devastating weapons by harnessing the might of the Cosmic Cube Now armed with an explosive rocket launcher RED SKULL is ready to make another attempt at world domination Imagine devastating battles with your RED SKULL figure CAPTAIN AMERICA sold separately will never stop in his quest for justice and truth but RED SKULL wont stop in his quest for power Who will win when these two collide Only you can decide Captain America The First Avenger movie 375 inch action figure from Hasbro Red Skull figure 08 comes with rocket launcher accessories Collect them all For Ages 4 UpnanThe Red Skull A Good Figure of a Very Bad GuyCollectible Props & MemorabiliaHobbiesnew7.04.027/07/201164.021.615.25.14.0
99909990Iron Maiden 8-Inch Eddie 2 Mintutes To Midnight Clothed Figure (Black)IronMan29.791.03.05.0Product Description Straight from the cover of Iron Maidens 1984 single 2 Minutes to Midnight Eddie is dressed in tailored fabric clothing similar to the toy lines that helped define the licensed action figure market in the 1970s    The bands legendary mascot stands 8 tall and features interchangeable right hands and assault rifle accessory Comes in blister card packaging with resealable protective clamshell Safety Warning not appropriate for children under the age of 3 See all Product Descriptionnanup the irons this is amazing figure to have as Im a iron maiden fanCollectible Props & MemorabiliaHobbiesnew16.05.019/03/2016181.03.87.620.318.0
99919991Power Rangers Dino Charge 30 cm Blue Ranger FigurePower Rangers9.757.03.04.1Product Description The Power Rangers Dino Charge Rangers are bigger and better than ever on a 30cm Figure scale With their Charged Up size the Power Rangers are armed with 1 battle gear item to defend the earth from villains Evil doesnt stand a chance Ages 4 Box Contains 1 x Figure 1 x Battle Gear Itemnanwith sounds this one didnt so I was slightly disappointed but my 3 year old loves itCollectible Props & MemorabiliaHobbiesnew6.04.001/01/2016168.05.010.530.010.0
99929992Star Wars The Clone Wars CW01 Captain Rex 3.75" Action Figure (98349)Star Wars32.992.03.05.0Play the Galactic Battle Game with your favorite Star Wars Heroes and Villains Will you use the Force Battle SKills or your Luck to win Dueling card battle base and game die inside Each figure has a unique card Collect them allnanbrilliant sculptToysCharacters & Brandsnew2.05.013/09/201068.022.614.55.84.0
99939993Playskool Heroes Super Hero Repulsor Drill Vehicle With Iron Man FigureSuper Heroes9.992.03.04.0IRON MAN needs a drill thats as tough as he is His rolling REPULSOR DRILL is built from the same advanced technology that powers his unstoppable IRON MAN suit The REPULSOR DRILL vehicle is just what your IRON MAN figure needs to be an even bigger threat to evil Your figure can stand at the controls as you roll the vehicle toward the next obstacle and then when the moment comes to power through it turn on the spinning drill Vehicle comes with figure Suitable for ages 3 years Safety Information Warning Not suitable for Children under 3 yearsnancool little toyCollectible Props & MemorabiliaHobbiesnew5.05.011/11/2014281.028.08.88.0NaN
99949994Factory Entertainment Green Hornet Movie: Kato Action FigureGreen Hornet9.501.03.04.06 inch action figure featuring the Kato chracter from the Green Hornet mnovienankatoCollectible Props & MemorabiliaHobbiesNaNNaN4.016/06/2014204.017.87.67.612.0
99959995Batman 1966 TV Series Action Figures - The RiddlerMattel22.953.03.05.0DC 66 Batman Classic TV Series 6 Inch Riddler Action FigurenanRealisticCollectible Props & MemorabiliaHobbiesnew5.05.031/03/2014136.019.05.130.512.0
99979997Defiance Lawkeeper Metal Badge Prop ReplicaOlde Scotland Yard Ltd.43.991.03.05.0Includes 1x Badge with holder and chain High quality metal construction Ball clasp necklace Removable from holster features heavy duty pin design Brand newnanFive StarsButtons & PinsNovelty & Special Usenew3.05.018/12/2015159.07.67.62.514.0
99989998Justice League of America Series 3 Green Lantern Action FigureDC Comics49.811.03.05.0Designed by Ed BenesIts here the third series based on the popular DC Comics series JUSTICE LEAGUE OF AMERICA written by New York Times bestselling author Brad Meltzer and illustrated by Ed Benes Green Lantern Wonder Woman The Flash and GeoForce are the latest JLA heroes to be made into action figures Green Lantern 675 HEach figure features multiple points of articulation and a base 4color blister card packagingnanThe best sculpt in a whileCollectible Props & MemorabiliaHobbiesnew3.05.013/05/2010181.021.615.234.314.0